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Your AI risk appetite is too narrow

AI Agents Explained: The clear, no-hype definition
“Agents” have become one of the biggest hyped and most misused terms in AI. So here’s the real definition from someone who builds AI solutions for a living.

There’s plenty of AI ROI - if you’re willing to work for it
A theme emerged in the chat of this year's AI:ROI Conference: 11 experts shared their value-adding AI strategies but people were just looking for magic formulas. Here were the biggest insights we think they overlooked.

Is AI good enough to lay off your engineers?
Are AI coding tools good enough to replace humans? Here’s the verdict from a founder who had to make that choice.

How to hire AI power users
If you want an AI-first team, you need to hire AI-first people. But, like critical thinking, this is not a skill you can suss out with scenario-based questions – you need to see it in action. Here’s how we do it at Section.

AI’s progress may be holding your team back
On paper, the rapid release of new AI models and features looks like a win for knowledge workers. In reality, teams are drowning in AI overwhelm. Here’s how leaders can help them scale an ever-steeper learning curve.

How to find AI workflows that actually translate to ROI
AI is pointing out a big point of weakness in a lot of organizations: too few can actually name the value-generating processes that drive revenue. So Machine & Partners’ Ed Ortega is giving you his 5 step framework for doing just that.

Want to be a better investor? Adopt these three mindsets
Think like an artist, an analyst, and a skeptic to make better decisions.

Every leader should have an operating manual. Here are 5 steps to build yours.
The things you do might be intuitive to you – but if they confuse your team, you're in trouble. Here's how to build an operating manual to make your decisions clear to everyone.

4 steps to give a winning presentation (hint: sound like a human)
We all know what a great presentation sounds like. But going up there and delivering one ourselves? That's a different matter.

Do this exercise to get more meaning from your life
It's about pinning down your "ultimate why," according to Berkeley Haas professors Sahar Yousef and Lucas Miller.

The 10 essential business skills every person (or team) needs
I’m sure we’ve all had this thought over the course of our career: “I wish somebody could give me a playbook on how to be great at my job.”
Well, we’re here to tell you that being a great strategist isn’t a natural talent or a magic trick. It’s a list of critical skills that, when mastered, make you indispensable.

4 data-driven tricks to win your customers’ hearts
For consistent sales, you need a long-term relationship. According to Google’s Neil Hoyne, It starts with a better conversation — and smarter questions.

Your AI risk appetite is too narrow
A simple framework for managing the risk of deploying AI agents to the enterprise
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Your AI manifesto needs an update
Why every organization needs to establish the why, how, and "what we expect" around generative AI - again and again.

The case for letting people mess around with AI
To get people experimenting with AI, you have to encourage them to play with it first.

Should enterprise organizations hire a Head of AI?
Should your company hire a head of AI? Michael argues for why the role should exist - and be well-resourced.

How to manage the risk of AI agents
Many organizations are talking about agents, but far fewer know how to deploy them safely. Our Head of AI, Michael Domanic, shares his mental framework for how to think about the risk and opportunity of AI agents.
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Why you need to pay your AI champions
Most champions programs fizzle out because you're asking people to do real work and giving them nothing for it. Pay them, promote them, and they'll actually drive your transformation forward.
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Section HQ
For any
(and every)
leader responsible for AI success
From org-wide impact to department-level use cases, Section HQ gives every leader the insights they need to drive progress.

